Dataset · Hugging Face

mteb/BrightLongRetrieval

Name: BrightLongRetrieval
Creator: mteb
License: cc-by-4.0
Keywords: task_categories:text-retrieval, task_ids:document-retrieval, annotations_creators:derived, multilinguality:multilingual, source_datasets:xlangai/BRIGHT, language:eng, license:cc-by-4.0, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2407.12883

BrightLongRetrieval An MTEB dataset Massive Text Embedding Benchmark Bright retrieval dataset with long documents. Task category t2t Domains Non-fiction, Written Reference https://huggingface.co/datasets/xlangai/BRIGHT How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["BrightLongRetrieval"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/BrightLongRetrieval.

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Author / organization	mteb
License (as declared)	cc-by-4.0
Downloads	1.1K (as reported by Hugging Face)
Likes	0
Created	6 May 2025
Last updated at source	8 May 2025

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